In July 2017, I presented at the 2017 AICPA FP&A Conference in Las Vegas over AI (Artificial Intelligence) & machine Learning impact on FP&A. The session received great feedback from attendees and other speakers. So, I wanted to share an article summarizing the presentations main points. The goal of this article is to provide insights into the impact AI & machine learning will have on people, processes and technologies in FP&A. Hope you enjoy!
In July 2017, I facilitated 5 meetings of the International FP&A Board in Asia and Australia. It was an amazing journey to 3 countries, 5 cities, and two continents. I was on the road for one month and met so many passionate FP&A professionals in Kuala Lumpur, Singapore, Perth, Melbourne and Sydney. Every meeting was a great success.
As a word fractal is not frequently used in conversation. As a concept fractal is frequently present in our lives. Its presence is evident in nature. The concept of a fractal was established in large part by the work of Benoit Mandelbrot, a mathematician whose work covered a wide and diverse number of disciplines. Perhaps the most notable example of how he established the concept of a fractal was his study of England’s coastlines.
Companies large and small spend countless hours every month developing, amending and updating the spreadsheets that measure performance and drive strategic decision-making. So it’s critical the data contained and output generated by these spreadsheets is timely, simple and above all, accurate. But is it?
A groundbreaking survey designed to benchmark current and emerging trends relative to how companies are leveraging technology and empowering FP&A professionals to unlock the strategic value of FP&A.
At one of the previous meetings, The London FP&A Board addressed the technological requirements needed for effective FP&A. The well-known Chatham House anonymised rules were deployed to encourage a full and frank debate.